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Assessing Pediatric Life Support Skills Using Augmented Reality Medical Simulation With Eye Tracking: A Pilot Study
Jimmy Qian1, Asheen Rama1, Ellen Wang1
1The following authors are at Stanford School of Medicine, Stanford, CA: is a Medical Student; is a medical student. The following authors are in the Department of Anesthesiology, Perioperative and Pain Medicine, Division of Pediatric Anesthesiology, at Stanford University School of Medicine, Stanford, CA: is a Clinical Assistant Professor; is a Clinical Associate Professor; is a Clinical Associate Professor; is a Statistician; is a Clinical Professor. is a Research Assistant in the Stanford Chariot Program at Stanford School of Medicine, Stanford, CA and at Lucile Packard Children's Hospital Stanford, Palo Alto, CA.
This study integrated augmented reality (AR) with eye tracking in a pediatric crisis simulation for anesthesiologists. Results showed high participant satisfaction and successful assessment, indicating potential for AR eye tracking in medical training.
Area of Science:
- Medical Simulation
- Augmented Reality
- Eye Tracking Technology
Background:
- Augmented reality (AR) and eye tracking are valuable tools in medical simulation but have been used separately.
- The Chariot Augmented Reality Medical (CHARM) Simulator uniquely integrates AR with eye tracking.
- This study explores the application of eye tracking within AR for assessing anesthesiologists during pediatric crisis simulations.
Purpose of the Study:
- To evaluate clinician performance in an AR pediatric life support simulation.
- To assess the utility of eye tracking as a measure for shockable rhythm recognition.
- To gauge participant satisfaction with the integrated AR and eye tracking simulation.
Main Methods:
- Recruited anesthesiology residents, fellows, and attending physicians (n=27).
- Participants engaged in a pediatric crisis simulation using the CHARM Simulator.
- Performance was assessed using the Anesthesia-centric Pediatric Advanced Life Support (A-PALS) scoring instrument, with eye tracking data analyzed and participant satisfaction measured via the Simulation Design Scale.
Main Results:
- All 27 participants completed the AR simulation with typical A-PALS performance scores.
- No significant differences in performance were observed across different training levels.
- Eye tracking data revealed no differences in time to rhythm recognition between training levels.
- Participant satisfaction with the simulation was high across all levels.
Conclusions:
- The integration of AR and eye tracking in the CHARM Simulator shows promise for medical training and assessment.
- While promising, further research is required to validate AR eye tracking for comprehensive medical training and assessment.
- Physicians across various training levels reported high satisfaction with the technology.
